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Autor(en): 
  • Steven F. Railsback
  • Bret C. Harvey
  • Modeling Populations of Adaptive Individuals 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 14-24 Tagen versandfertig
    Veröffentlichung:  Mai 2020  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Science / SCIENCE / Life Sciences / Biology / SCIENCE / Life Sciences / Ecology
    ISBN:  9780691195285 
    EAN-Code: 
    9780691195285 
    Verlag:  Princeton University Press 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Monographs in Population Biology  
    Dimensionen:  H 234 mm / B 156 mm / D 11 mm 
    Gewicht:  307 gr 
    Seiten:  196 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Ecologists now recognize that the dynamics of populations, communities, and ecosystems are strongly affected by adaptive individual behaviors. Yet until now, we have lacked effective and flexible methods for modeling such dynamics. Traditional ecological models become impractical with the inclusion of behavior, and the optimization approaches of behavioral ecology cannot be used when future conditions are unpredictable due to feedbacks from the behavior of other individuals. This book provides a comprehensive introduction to state- and prediction-based theory, or SPT, a powerful new approach to modeling trade-off behaviors in contexts such as individual-based population models where feedbacks and variability make optimization impossible. Modeling Populations of Adaptive Individuals features a wealth of examples that range from highly simplified behavior models to complex population models in which individuals make adaptive trade-off decisions about habitat and activity selection in highly heterogeneous environments. Steven Railsback and Bret Harvey explain how SPT builds on key concepts from the state-based dynamic modeling theory of behavioral ecology, and how it combines explicit predictions of future conditions with approximations of a fitness measure to represent how individuals make good-not optimal-decisions that they revise as conditions change. The resulting models are realistic, testable, adaptable, and invaluable for answering fundamental questions in ecology and forecasting ecological outcomes of real-world scenarios.

      



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